REA

io.github.morluto由 GitHub 帳號 morluto 發布v6.8.0更新於 Oct 25, 2026

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

概覽

AI 產生的概覽

REA 是本地 MCP 伺服器兼命令列工具,讓助理對二進位檔、應用程式、網站與封包擷取進行逆向分析,並附上證據。

可以做什麼
  • 檢查原生二進位檔、Go/Rust/PE/ELF 產物、.NET 組件與 PyInstaller 執行檔,取得虛擬碼、符號與中繼資料
  • 分析 JavaScript/Electron 應用程式、Android APK 與資源、Flutter 應用程式、IL2CPP 中繼資料與 Godot PCK 封裝
  • 檢查網站、已儲存的網路擷取、封包摘要、當機紀錄與邏輯訊號紀錄
  • 檢查模型檔案、GPU 程式碼物件、WASM、EVM 位元組碼、SQLite 資料庫與韌體映像
  • 擷取行程執行行為,並依錄製的 API 流量建立強化學習環境
適用情境
適合讓助理說明現有功能或二進位檔的運作方式、追蹤程式碼路徑,或依你擁有或獲授權分析的軟體重建實作。也適用於安全研究、互通性與軟體保存工作。
執行需求
透過 npx(rea-agents)在本機執行,需要 Node.js 22.x、24.x 或 26.12.1+ 與 npm;setup 會把伺服器註冊到你的助理。深度原生分析需要已安裝的 Hopper、Ghidra、IDA 或 Kuna;其他目標還需 JADX、adb、tshark、pwntools 或 Chrome 系列瀏覽器等選用工具。Linux 上部分分析需要相容 procps 的 ps。
安裝前請注意
setup 會修改助理的設定檔,但會先備份。執行期擷取會以你的使用者權限執行或操作目標,可能變更檔案或狀態。分析在本機進行,但工具結果會傳送給助理所用的模型供應商,並受其資料政策約束。僅用於你擁有或獲授權分析的軟體。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 REA,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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REA: Reverse Engineer Anything

One MCP for reverse engineering across binaries, applications, and runtime behavior.

See a feature you like. Understand how it works, down to the binary level.

[npm version] [MCP tool catalog] [Node.js requirements] [skills.sh] [MIT license] [Discord]

[morluto%2Frea | Trendshift]

Website · Guides · Showcases

Quick start · How REA works · What you can analyze · Showcases · Build RL environments · FAQ · Documentation

npx rea-agents setup

[!IMPORTANT] Get REA from morluto/rea, rea.tools, or the rea-agents npm package. Follow the installation and release links from these official sources. A similar repository name or copied README does not establish that a download is official.


See a feature in an app that you want in your own product? Ask your agent to investigate it with REA. It can inspect the app without its source code, explain how the feature works, show the evidence, and build a version for your project.

REA connects your agent to tools for inspecting native binaries, JavaScript and Electron apps, .NET assemblies, and websites. You can also use the same tools from your terminal. Analysis runs locally, and results include the evidence and limitations behind each conclusion.

Setup registers REA with your agent and installs matching workflow instructions. Native analysis can use an existing Hopper, Ghidra, IDA or Kuna installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs no native analysis engine.

Visit the REA website for setup instructions, illustrated guides, and real case studies.

Quick start

On Linux, Ghidra, JADX, firmware tool launches and static JavaScript/Electron analysis require a procps-compatible ps on REA's PATH for process ownership checks. Recovery steps are in docs/installation.md under "Linux owned-process prerequisite".

Set up your agent

With Node.js and npm installed, run:

bash
npx rea-agents setup

Choose your agents, review the proposed changes, and approve them. Setup adds REA's MCP server and matching workflow instructions, with backups of existing configuration. Restart your agent afterward. Setup records the selected runtime and REA entry script directly. If acquired through a package runner, keep its cache entry available. Run package acquisition from a trusted directory outside the target project. Installation and recovery details are in the setup guide below.

Setup supports Claude Code, Codex, Cursor, Gemini CLI, Grok Build and other agents. See installation and setup for provider configuration and manual MCP registration and Claude Code/Codex plugin installation.

MCP uses compact input schemas by default to reduce context overhead. Set REA_MCP_INPUT_SCHEMA_PROFILE=full in your MCP registration when you need the complete advertised field guidance and nested validation details. Both profiles keep the full tool set and canonical server validation. See "Compact input schema profile" in the MCP contracts guide.

Complete output schemas are advertised by default. If your client caps the complete tools/list frame, set REA_MCP_OUTPUT_SCHEMA_PROFILE=compact to bound each advertised output schema, or off to omit output schemas entirely. Both settings keep canonical server-side validation and complete structured results. See "Output schemas" in the MCP contracts guide.

Ask your agent

text
Understand how search works in the Notes app, show me the evidence, and build asimilar feature for my project.

Replace Notes with your target app and the feature you want to understand.

Use the terminal

Inspect an extracted JavaScript/Electron app directory or ASAR:

bash
npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json

The result includes modules, imports, Electron boundaries and their evidence. Replace the path with your target, such as "D:/apps/example" on Windows.

To install the rea command for regular use:

bash
npm install --global rea-agentsrea --help

For native analysis, configure a provider first. See the CLI and Evidence guide for native commands, provider selection, snapshots and scripting.

Update REA

REA changes quickly, and new releases include frequent bug fixes. Keep your installation up to date.

For a CLI installed with npm install --global or bun add --global:

bash
rea update

rea --update is an alias for this verified workflow and accepts the same global output flags. Use rea update when combining it with other command controls.

Updater commands retain at most 4 MiB of stdout and stderr combined. Oversized metadata replies are rejected after the command exits; verbose installs continue with bounded diagnostics. Human progress output respects terminal backpressure and waits for submitted writes to finish.

Bun global updates require Bun 1.2.17 or later. With an older Bun release, upgrade Bun manually before running rea update.

To refresh your agent registrations and skill, run the setup command printed by the update.

If you use npx, update your agent setup with:

bash
npx rea-agents@latest setup

Review the setup changes and restart your agent. For one-off CLI commands, use npx rea-agents@latest followed by the command. With Bun, use bunx rea-agents@latest in place of npx rea-agents@latest.

How REA works

Your agent calls REA through MCP to inspect the target and trace relevant code. REA returns findings with their evidence. The agent uses them to ask follow-up questions, explain the behavior, or write and test an implementation. CLI commands use the same workflows.

[REA investigation flow: your agent asks about a local target, REA inspects and traces it using analysis tools, and the agent uses the returned code, references and unknowns to explain, implement and test.]

Open the full-size figure.

What you can analyze

REA requires Node.js 22.x (>=22.23.4), 24.x (>=24.22.1), or 26.12.1+, plus npm. Additional tools and host support depend on the target:

TargetWhat REA returnsRequirements and guide
Desktop installationsRuntime candidates, supporting files, component markers and next probesBuilt-in bounded directory/header inspection; desktop applications
Native binariesPseudocode, assembly, strings, symbols, calls and referencesHopper, Ghidra, IDA or Kuna; native analysis
Offline ELF layoutSections, segments, original symbols/relocations and static mitigation candidatesCaller-supplied pwntools on Linux x64; binary diagnostics
Go binariesEmbedded compiler version, modules, replacements and build settingsBuilt-in static ELF/PE/thin Mach-O inspection; no Go installation required
GPU code objectsCUDA/HIP targets, selected kernel parameters and resources, retained PTX textBuilt-in static ELF/PE/fatbin/CUBIN/PTX inspection; GPU code objects
Model artifactsGGUF / safetensors metadata, tensor declarations and derived totalsBuilt-in header inspection; optional full-file hash; model files
IL2CPP metadataUnity global-metadata.dat assembly images, type and method names and index rangesBuilt-in static decoding of versions 24, 27, 29, 31 and 39; no Unity required
Godot PCKArchive inventory and extraction, original header/directory facts and selected content identitiesBuilt-in static formats 2, 3 and 4; no Godot required
Rust binariesEmbedded cargo-auditable crate names, versions, sources and dependency edgesBuilt-in static ELF/PE/thin Mach-O inspection; Rust binaries
PE certificatesAuthenticode WIN_CERTIFICATE entries and PKCS#7 signer/X.509 identity fieldsBuilt-in static PE inspection; PE certificates
PE importsImport and delay-load DLL names, ordinals, IAT RVAs and pefile import hashBuilt-in static PE inspection; PE imports
ELF notesPT_NOTE/SHT_NOTE owners, types, GNU build-id and ABI-tag fieldsBuilt-in static ELF inspection; ELF notes
Apple IPS crashes.ips metadata, threads, images, registers and documented crash classesBuilt-in static JSON inspection; Apple IPS
Linux kernel modules.modinfo keys, __versions CRCs, this_module presence, and signature trailerBuilt-in static ELF inspection; kernel modules
Erlang BEAMIFF chunks, atoms, exports, imports, lambdas and the Code headerBuilt-in static BEAM inspection; Erlang BEAM
WASM artifactValidation, sections, exact import/export WAT forms and decoded WATCaller-supplied WABT 1.0.42; inspect_wasm_artifact
EVM bytecodeDispatch selectors, byte offsets, inferred arguments and mutabilityLocal raw/hex carrier on Linux x64; offline EVM guide
SQLite databasesTables, columns, indexes, views, triggers and selected ordinary-table rowsLocal database/WAL snapshot; Node.js 24.x >=24.15 or 26+ with native SQLite limits
Recorded Linux crashesRaw notes, every recorded thread's registers/signals and optional mapping candidatesCaller-supplied pwntools on Linux x64; optional GDB/pwndbg; recorded crashes
JavaScript / ElectronModules, imports, source maps, routes, IPC and native add-on relationshipsNode.js and npm; Linux: procps-compatible ps; application analysis
WebsitesPage structure, scripts, network observations and requested screenshotsA Chrome-family browser; browser analysis
Saved network capturesRequests, responses, exposed payloads and source locationsHAR or Fiddler Everywhere SAZ; mitmdump on Linux for native mitmproxy; capture guide
.NET assembliesMetadata, CIL instructions, declared native dependencies and build comparisonsNone (static only); managed-code guide
Android APKsManifest declarations, classes, decompiled methods and referencesHeadless JADX and a full JDK on Linux/macOS/Windows x64; Android guide
APK signaturesv1/v2/v3/v3.1 signers, certificate fingerprints, key rotation and digest self-consistencyNone (static only); inspect_apk_signature
Android devicesDevices, packages, processes, logs, dumps, screen captures, and APK/file transfersCaller-supplied adb (emulator or hardware); ADB guide
JEB projectsEngine-backed project units, artifact digests and type/method pseudo-codeA caller-started JEB client serving MCP, selected with REA_JEB_MCP_URL; JEB guide
Android resourcesDecoded manifest, string tables, locales and version factsCaller-supplied Apktool launcher; resource guide
Flutter appsDart snapshot hash, per-ABI library digests and engine build provenanceNone (static APK parsing); Flutter guide
FirmwareRegions, extraction results and native-analysis handoffsBinwalk / Unblob on Linux; firmware guide
Recorded packetsSelected fields, repeated values, filters and decode-as rulesLinux: TShark 4.x + prlimit; capture guide
Packet summariesEndpoints, DNS, TLS SNI, protocol distribution and HTTP requestsCaller-supplied tshark and capinfos (Linux-verified); pcap guide
Recorded logic signalsDecoder annotations, sample ranges and diagnosticsLinux: sigrok-cli 0.7.2 + prlimit; signal recordings
Packages and resourcesFile inventories, digests, plists, Apple bundle anatomy and extracted resourcesArtifact and JavaScript guide, Apple applications
Process behaviorTerminal output, interactions, exit and filesystem observations, and run comparisonsLinux/macOS with a native PTY; process capture
PyInstaller executablesCArchive members, Python version, entry scripts and extracted bytecodeNone (static only); Python packaged applications

Static JavaScript and .NET inspection read the supplied files without running the application. Runtime capture runs or interacts with the selected target using your user permissions; each runtime guide describes its effects.

For offline native-binary inspection, REA also supports caller-supplied GNU objdump and Rizin. See the reverse-engineering tools guide for provider setup, CLI commands, and Evidence limitations. REA does not install or update either provider.

Native formats and host support vary by provider. See Hopper and Ghidra setup, the IDA guide (including an optional native MCP bridge), the Kuna decompiler guide, and experimental Windows Ghidra support. Ghidra also supports 16-bit DOS analysis. For large binaries, raise the provider's startup deadline with REA_GHIDRA_STARTUP_TIMEOUT_MS or REA_HOPPER_STARTUP_TIMEOUT_MS. For provider selection, see the CLI guide. Check release availability for features added since the latest npm release.

Showcases

[Illustrations of the DX-Ball sound-pan, Notion clipboard-bridge, and TH04 bullet-ring showcases]

DX-Ball: reconstruct a sound-pan calculation

Follow a sound call into its position-to-pan helper, inspect the instructions, and turn incomplete pseudocode into C. The reconstruction passes 3,205 original-x86 cases and reproduces all 63 compiled function bytes.

Read the case study · Reconstruction repository

Notion: trace the Electron clipboard bridge

Find the renderer's clipboard API, follow it through preload and IPC into the main process, and inspect the rich clipboard format.

Read the case study

TH04: recover a DOS bullet-ring calculation

Inspect the original PC-98 game's 16-bit instructions, recover the fixed and aimed angle calculations, and compare the reconstructed C++ with the historical compiler output.

Read the case study · Reconstruction repository

Build RL environments with REA

Record a web app session, turn its API into tools, and export an environment an AI agent can use. Run it with AgentEnv, then add tasks and reward checks for RL training or evaluation.

Read the guide · Watch the video

If you've used REA on something interesting, we'd love to see it. Share your case in an issue or a pull request, including the target, your question, how REA helped, and what you found.

Build RL environments

Give an AI agent a local environment to practice tasks such as finding an issue or creating a folder, without running the original app. Use it for reinforcement learning (RL) or to test how well an agent completes tasks.

REA turns recorded API requests and responses into tools the agent can call. The environment uses the recorded data and supports changes only when the recording confirms their effects.

With REA set up in your agent, replace the example URL and folder tasks below with your own:

text
Use REA to build an RL environment from my test web app athttp://127.0.0.1:3000.Cover listing, creating, renaming, and deleting folders. You may create andremove test folders. Leave existing data unchanged.Save it in a folder named my-env. Check which operations work and tell mehow to run it.
Use the command line instead

Use these commands if you already have a file containing the app’s recorded browser requests and responses. Running the result also requires AgentEnv and Docker.

sh
rea environment-build ./session.har ./my-env --name my-env --jsonagent-env run ./my-env

REA exports a runnable environment with a basic test to check that it starts and responds. Use it with your RL framework to define task goals, add reward checks, and run training.

Build an environment · Environment reference · Watch the demo on X

FAQ

Which agents can use REA?

Any agent that supports local MCP servers. Setup configures the supported agents; other clients can use manual MCP registration.

Do I need a native analysis engine?

Deep native analysis uses Hopper, Ghidra, IDA or Kuna, depending on the target and operation. Static JavaScript and .NET inspection work without a native analysis engine. Setup can install Hopper after approval; Ghidra, IDA and Kuna use your existing installations. See provider setup for the options and their supported targets.

Do I need to start Hopper first?

REA starts Hopper when an operation needs it. On macOS, a first-run dialog may ask you to choose demo mode or activate your license. Complete that prompt in the same user session before your first CLI/MCP operation or unattended job. Open Hopper manually if needed. See Hopper startup and troubleshooting.

What does installing the skill from skills.sh do?

The skill supplies investigation instructions for your agent. Use npx rea-agents setup to register REA's MCP server and install the matching instructions, then restart your agent. See skill-only installation.

What code does REA return?

Native analysis returns pseudocode and assembly. JavaScript/Electron analysis recovers modules and their relationships. Your agent uses these findings to write and test an implementation; the showcases give worked examples.

Does REA upload my app?

REA analyzes targets locally. Your agent receives the tool results, and its model provider has its own data policy.

What should I do if I hit a bug?

Update first; a recent release may already fix it.

For a CLI installed with npm install --global or bun add --global:

bash
rea update

For agent setup through npx:

bash
npx rea-agents@latest setup

If you're using an agent, complete the setup refresh and restart it. Retry the same task. If the problem persists, open an issue with your REA version, target type, steps to reproduce and error output.

Documentation

Start with the website's worked guides. For exact options, prerequisites and result contracts:

Report vulnerabilities through SECURITY.md.

Star history

🎉 400,000 GitHub stars — thank you!

Thanks to everyone using REA, reporting bugs, requesting features, testing builds, and contributing fixes.

[REA GitHub star history]

Disclaimer

See DISCLAIMER.md for responsible-use guidance.

The project's position on illegal or unauthorized use covers all REA versions, distribution channels, and platforms; each copy retains its applicable licenses.

REA is for lawful research, education, interoperability, software preservation, and analysis of software you own or are authorized to examine.

Contributing

We'd love your help with REA! Open an issue to report a bug or suggest a feature, or send a pull request to improve the code or docs.

See CONTRIBUTING.md for development setup and checks, testing for verification lanes, and the architecture map for selected layers and dependency paths.

License

MIT

REA-authored code is licensed under MIT. Third-party material retains its own licenses and copyright notices; see Third-party notices for the dependency inventory, preserved license texts, and external-tool terms.

You must legally obtain and be authorized to use commercial tools, including IDA Pro / Hex-Rays decompilers, Hopper, and JEB, under their applicable licenses. REA grants no tool license, key, or activation entitlement. Trials and demos remain subject to vendor terms, including user, feature, automation, and output sharing restrictions. Cracked copies, stolen keys, unauthorized key sharing, and bypassing license restrictions are not authorized. This guidance does not amend MIT or third-party licenses.

來源:README.md,提交 aa48d49

工具

0
SourceWeft 曾在隔離沙箱中以無憑證方式啟動該軟體包一次,以列出其工具,但未能完成:伺服器未完成 MCP 握手。

版本歷史

12
  1. v6.8.0最新Oct 25, 2026
  2. v6.7.0Oct 18, 2026
  3. v6.5.0Oct 14, 2026
  4. v6.4.0Oct 11, 2026
  5. v6.3.0Oct 10, 2026
  6. v6.2.0Oct 9, 2026
  7. v6.1.0Oct 9, 2026
  8. v6.0.0Oct 8, 2026
  9. v5.0.0Oct 7, 2026
  10. v4.0.1Oct 5, 2026
  11. v3.2.1Oct 3, 2026
  12. v3.1.0Sep 16, 2026

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